Results 91 to 100 of about 5,928 (266)
Abstract We estimate the price impact of very nearby concurrently listed properties in the Sydney housing market and assess their competition effects. We apply a hedonic model with spatiotemporal effects regularized via a graph Laplacian prior at the month‐by‐SA2 regional level to seven SA4 subregions of metropolitan Sydney. The model structure enables
Willem P. Sijp, Mengheng Li
wiley +1 more source
Flexible unimodal density estimation in hidden Markov models
Abstract Hidden Markov models (HMMs) are powerful tools for modelling time‐series data with underlying state structure. However, selecting appropriate parametric forms for the state‐dependent distributions is often challenging and can lead to model misspecification.
Jan‐Ole Fischer +5 more
wiley +1 more source
Long‐run confidence: Estimating uncertainty when using long‐run multipliers
Abstract Researchers are often interested in the long‐run relationship (LRR) between variables where the dependent variable has dynamic properties. Though determining the long‐run multiplier (LRM) for an independent variable is straightforward, correctly estimating the significance of the LRM is often difficult, especially when time series are short ...
Mark David Nieman, David A. M. Peterson
wiley +1 more source
ABSTRACT Background Testicular cancer (TC) is the most common malignancy amongst adolescents and young adults (AYAs) aged 15–39 years assigned male at birth. Survivors often experience late effects of treatment and report unmet supportive care needs.
Mohamad M. Saab +30 more
wiley +1 more source
Simulation or cohort models? Continuous time simulation and discretized Markov models to estimate cost-effectiveness [PDF]
The choice of model design for decision analytic models in cost-effectiveness analysis has been the subject of discussion. The current work addresses this issue by noting that, when time is to be explicitly modelled, we need to represent phenomena ...
Marta O Soares, L Canto e Castro
core
Limiting Conditional Distributions: Imprecision and Relation to the Hazard Rate [PDF]
Many Markov chains with a single absorbing state have a unique limiting conditional distribution (LCD) to which they converge, conditioned on non-absorption, regardless of the initial distribution.
CROSSMAN, RICHARD,JOHN +1 more
core
Feral pigs (Sus scrofa) are important reservoirs for zoonotic and livestock pathogens in Australia, but robust information on the spatial distribution of pathogens in pig populations remains limited. We analysed serological data from a systematic, state‐wide surveillance program to investigate spatial heterogeneity in exposure to Brucella suis and ...
AJ Bengsen +10 more
wiley +1 more source
SEMI-MARKOV DECISION PROCESSES WITH COUNTABLE STATE SPACE AND COMPACT ACTION SPACE
We shall be concerned with the optimization problem of semi-Markov decision processes with countable state space and compact action space. Defined is the generalized reward function associated with the semi-Markov decision processes which include the ...
安田, 正實, Yasuda, Masami
core
Semi-Markov decision process as a safety and reliability model of a sea transport operations [PDF]
A problem of optimization of a sea transport operation in safety and reliability aspect is discussed in the paper. To describe and solve this problem, a semi-Markov decision processes theory is applied.
Grabski, F.
core
JOINclusion: A serious mobile game for promoting ethnocultural empathy in schools
Abstract This study examines the efficacy of JOINclusion, a serious mobile game designed to enhance ethnocultural empathy in children aged 8 to 12. Grounded in the Social Emotional Learning (SEL) framework, JOINclusion delivers interactive scenarios through a narrative‐driven Story Mode and a collaborative Multiplayer Mode, encouraging emotional ...
Alessandra Colella +9 more
wiley +1 more source

